Abstract
Industrial cameras used in traditional machine vision are subject to errors because of the distortions induced in the images due to the camera lenses and various external factors. To calibrate these errors, a picture of the dot grid was taken and the center of the circle was calculated using the least squares circle-fitting method and the centroid method. In addition, an error map was generated using these methods, which can be used for generating a first-order equation with the least squares method. It is possible to calibrate the object point. In this work, an equation that can correct this error and perform an accurate measurement. It was applied to the stacking equipment of secondary batteries for automobiles to an algorithm that accurately measures the alignment of the cathode and the anode.
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